FrontierMath: A Benchmark for Evaluating Advanced Mathematical Reasoning in AI
On the map: LLM reasoning → Mathematical reasoning
Abstract (arXiv)
We introduce FrontierMath, a benchmark of hundreds of original, exceptionally challenging mathematics problems crafted and vetted by expert mathematicians. The questions cover most major branches of modern mathematics -- from computationally intensive problems in number theory and real analysis to abstract questions in algebraic geometry and category theory. Solving a typical problem requires multiple hours of effort from a researcher in the relevant branch of mathematics, and for the upper end questions, multiple days. FrontierMath uses new, unpublished problems and automated verification to reliably evaluate models while minimizing risk of data contamination. Current state-of-the-art AI models solve under 2% of problems, revealing a vast gap between AI capabilities and the prowess of the mathematical community. As AI systems advance toward expert-level mathematical abilities, FrontierMath offers a rigorous testbed that quantifies their progress.
Key facts. Cited by 227 papers in the map (data through 7 Oct 2026). Placed in Mathematical reasoning, one of 17 directions in LLM reasoning. Builds on 14 of its 31 references that are in the map. First posted on arXiv 7 Nov 2024.
Builds on
14 of 31 references.
Closest ancestors · 2
Same direction, newest first
- 2024Omni-MATH: A Universal Olympiad Level Mathematic Benchmark For Large Language Models10 Oct
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Other references · 12
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Citing papers per year: 2024: 4; 2025: 115; 2026: 108.
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